What the keyword extractor does
Enter a URL or paste text, and the extractor lists the words and short phrases that appear most often, ranked by count. For a URL it reads the title, meta description and main content, and skips menus and footers. Common words such as “the” and “of” can't start or end a phrase, and a phrase that sits inside a longer one with the same count (“organic masala” inside “organic masala powder”) is shown only once, as the longer one.
What to use it for
- Check what a page is really about. If your target keyword isn't near the top, the page may be drifting off-topic.
- Read a competitor's page. See the terms it repeats, then decide which ones your own page is missing.
- Start a list. Copy the keywords or download the CSV as a starting point for titles, headings, tags and alt text.
It counts words, so it can't tell you how many people search for a term. To see whether a phrase is repeated too often, use the keyword density checker. To see where to use it, run the on-page SEO checker.
Frequently asked questions
What is a keyword extractor?
A keyword extractor picks out the words and short phrases that a piece of text uses most. Here, that means single words and two- and three-word phrases, ranked by how often they appear, with common filler words left out.
Does it show search volume or keyword difficulty?
No. It counts words on the page you give it, so it shows what the text is about, not what people search for. To get real search volumes and difficulty for the terms you find, ask the Qelvra agent for keyword research.
How is it different from the keyword density checker?
Both count words the same way. The extractor gives one ranked list of one-, two- and three-word keywords that you can copy or download as a CSV. The keyword density checker is for the opposite question: how often a phrase appears as a share of the page, and whether your target keyword is over-used.
Is the keyword extractor free?
Yes. There is no sign-up, and you can run it on any public page, including a competitor's.
Does it work for Hindi or other languages?
It is built for English text. Hindi written in Latin letters (Hinglish) is counted, but its common words are not filtered out. Words in Devanagari script are not split reliably, so results for Hindi pages can be poor.